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加密貨幣新聞文章

Nebius、代幣工廠和人工智能推理:開源人工智能的新時代?

2025/11/05 21:48

探索 Nebius 的令牌工廠如何通過為開源模型提供企業級可擴展性和成本效率來徹底改變人工智能推理。

Nebius、代幣工廠和人工智能推理:開源人工智能的新時代?

Nebius, Token Factory, and AI Inference: A New Era of Open-Source AI?

Nebius、代幣工廠和人工智能推理:開源人工智能的新時代?

The AI landscape is rapidly evolving, with inference costs becoming a major factor. Nebius's Token Factory offers a production inference platform that enables companies to deploy and optimize open-source AI models, potentially revolutionizing the economics of AI inference.

人工智能領域正在迅速發展,推理成本成為一個主要因素。 Nebius 的 Token Factory 提供了一個生產推理平台,使公司能夠部署和優化開源人工智能模型,從而可能徹底改變人工智能推理的經濟性。

Unveiling Nebius Token Factory

Nebius 代幣工廠揭幕

Nebius has launched the Nebius Token Factory, a platform designed to democratize AI inference. By supporting major open-source models like NVIDIA Nemotron, DeepSeek, GPT-OSS by OpenAI, Llama, and Qwen, Token Factory empowers AI companies and enterprises to leverage the flexibility of open models without the complexities of managing them in production.

Nebius 推出了 Nebius Token Factory,這是一個旨在實現人工智能推理民主化的平台。通過支持 NVIDIA Nemotron、DeepSeek、OpenAI 的 GPT-OSS、Llama 和 Qwen 等主要開源模型,Token Factory 使 AI 公司和企業能夠利用開放模型的靈活性,而無需在生產中管理它們的複雜性。

Key Features and Benefits

主要特性和優點

Nebius Token Factory stands out due to its ability to deliver sub-second latency, autoscaling throughput, and 99.9% uptime. The platform's architecture is optimized for efficiency, reducing inference costs and latency by up to 70%. Key features include:

Nebius 令牌工廠因其提供亞秒級延遲、自動擴展吞吐量和 99.9% 正常運行時間的能力而脫穎而出。該平台的架構針對效率進行了優化,可將推理成本和延遲降低高達 70%。主要特點包括:

  • Support for major open-source models: Seamlessly deploy and optimize various AI models.
  • Enterprise-grade reliability: Benefit from high availability and consistent performance.
  • Cost-efficiency: Reduce inference costs through optimized infrastructure.
  • Teams and Access Management: Enhance collaboration and ensure compliance with granular access control.

Real-World Impact

現實世界的影響

Early adopters are already seeing significant benefits. Prosus, for example, has achieved up to 26x cost reductions compared to proprietary models. Higgsfield AI relies on Nebius for on-demand and autoscaling inference, enabling faster and more cost-efficient AI in production. Hugging Face is collaborating with Nebius to improve access and scalability for developers.

早期採用者已經看到了顯著的好處。例如,與專有型號相比,Prosus 的成本降低了 26 倍。 Higgsfield AI 依靠 Nebius 進行按需和自動擴展推理,從而在生產中實現更快、更經濟高效的 AI。 Hugging Face 正在與 Nebius 合作,以改善開發人員的訪問和可擴展性。

NVIDIA's Blackwell Platform and InferenceMAX

NVIDIA 的 Blackwell 平台和 InferenceMAX

NVIDIA's Blackwell platform is emerging as a frontrunner in AI inference. According to the InferenceMAX v1 benchmark, a $5 million NVIDIA GB200 NVL72 system could generate about $75 million in token revenue, a 15x return on investment. This platform delivers 10x more throughput per megawatt and cuts cost per million tokens by 15x compared to the previous generation. NVIDIA's full-stack approach optimizes model performance through collaborations with OpenAI, Meta, and DeepSeek AI, along with software tweaks like the TensorRT LLM library.

NVIDIA 的 Blackwell 平台正在成為人工智能推理領域的領跑者。根據 InferenceMAX v1 基準,價值 500 萬美元的 NVIDIA GB200 NVL72 系統可產生約 7500 萬美元的代幣收入,即 15 倍的投資回報率。與上一代相比,該平台每兆瓦的吞吐量提高了 10 倍,每百萬代幣的成本降低了 15 倍。 NVIDIA 的全棧方法通過與 OpenAI、Meta 和 DeepSeek AI 的協作以及 TensorRT LLM 庫等軟件調整來優化模型性能。

The Rise of AI Factories

人工智能工廠的崛起

The AI industry is shifting from pilot projects to AI factories. Nebius Token Factory, along with NVIDIA's Blackwell platform, is playing a crucial role in this transformation by providing the infrastructure needed to turn data into tokens, predictions, and business decisions in real-time.

人工智能產業正在從試點項目轉向人工智能工廠。 Nebius Token Factory 與 NVIDIA 的 Blackwell 平台一起,通過提供將數據實時轉化為代幣、預測和業務決策所需的基礎設施,在這一轉型中發揮著至關重要的作用。

Final Thoughts

最後的想法

With Nebius Token Factory and advancements in platforms like NVIDIA Blackwell, the future of AI inference looks bright. Open-source models are becoming more accessible and cost-effective, empowering organizations to innovate and scale their AI initiatives. Who knows? Maybe one day, AI will be so efficient, it'll write its own blog posts. Until then, we'll keep you updated!

憑藉 Nebius 令牌工廠和 NVIDIA Blackwell 等平台的進步,人工智能推理的未來看起來一片光明。開源模型變得越來越容易訪問且更具成本效益,使組織能夠創新和擴展其人工智能計劃。誰知道?也許有一天,人工智能會如此高效,它會寫自己的博客文章。在那之前,我們會及時向您通報最新情況!

原始來源:seekingalpha

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